Sentence examples for linear regression approaches from inspiring English sources

Most notable these are fuzzy linear regression approaches [10, 49, 50], such as factor variable approches as used in [51, 52].

Zhang et al. [10] have shown that the NNs models give significantly higher accuracy than the linear regression approaches in the prediction of future AP concentrations, because it can model the complicated non-linear relationships between independent variables and objective functions.

Propensity score analysis has several advantages over multiple linear regression approaches.

In general, models constructed from linear regression approaches are relatively easy to interpret.

We note that the same limitation exists for linear regression approaches [ 9, 15, 16].

For this reason, standard linear regression approaches are not appropriate for the study of age-related variation in expression patterns.

We removed outliers in gestational age using a linear regression approach in which gestational age was regressed against birth weight in strata of whole weeks of gestation.

Logistic model also tested for the non linear regression approach.

In his work, relationship between speed and density is introduced relying on simple linear regression approach.

The weight of each term was obtained by the multiple linear regression approach.

A multiple linear regression approach is applied to LIF-spectra of mixtures from selected components at known concentrations in various combinations.